Author: Peter M. Allen
Publisher: Routledge
ISBN: 1135301727
Category : Architecture
Languages : en
Pages : 327
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Book Description
A clear methodological and philosophical introduction to complexity theory as applied to urban and regional systems is given, together with a detailed series of modelling case studies compiled over the last couple of decades. Based on the new complex systems thinking, mathematical models are developed which attempt to simulate the evolution of towns, cities, and regions and the complicated co-evolutionary interaction there is both between and within them. The aim of these models is to help policy analysis and decision-making in urban and regional planning, energy policy, transport policy, and many other areas of service provision, infrastructure planning, and investment that are necessary for a successful society.
Author: Peter M. Allen
Publisher: Routledge
ISBN: 1135301719
Category : Architecture
Languages : en
Pages : 327
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Book Description
A clear methodological and philosophical introduction to complexity theory as applied to urban and regional systems is given, together with a detailed series of modelling case studies compiled over the last couple of decades. Based on the new complex systems thinking, mathematical models are developed which attempt to simulate the evolution of towns, cities, and regions and the complicated co-evolutionary interaction there is both between and within them. The aim of these models is to help policy analysis and decision-making in urban and regional planning, energy policy, transport policy, and many other areas of service provision, infrastructure planning, and investment that are necessary for a successful society.
Author: Roger White
Publisher: MIT Press
ISBN: 0262029561
Category : Political Science
Languages : en
Pages : 354
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Book Description
The theory and practice of modeling cities and regions as complex, self-organizing systems, presenting widely used cellular automata-based models, theoretical discussions, and applications. Cities and regions grow (or occasionally decline), and continuously transform themselves as they do so. This book describes the theory and practice of modeling the spatial dynamics of urban growth and transformation. As cities are complex, adaptive, self-organizing systems, the most appropriate modeling framework is one based on the theory of self-organizing systems—an approach already used in such fields as physics and ecology. The book presents a series of models, most of them developed using cellular automata (CA), which are inherently spatial and computationally efficient. It also provides discussions of the theoretical, methodological, and philosophical issues that arise from the models. A case study illustrates the use of these models in urban and regional planning. Finally, the book presents a new, dynamic theory of urban spatial structure that emerges from the models and their applications. The models are primarily land use models, but the more advanced ones also show the dynamics of population and economic activities, and are integrated with models in other domains such as economics, demography, and transportation. The result is a rich and realistic representation of the spatial dynamics of a variety of urban phenomena. The book is unique in its coverage of both the general issues associated with complex self-organizing systems and the specifics of designing and implementing models of such systems.
Author: Juval Portugali
Publisher: Springer Science & Business Media
ISBN: 9783540654834
Category : Business & Economics
Languages : en
Pages : 380
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Book Description
Second, by developing a new family of heuristic models and using them to study the issue of socio-cultural spatial segregation in cities. We term these models FACS model (Free Agents in a Cellular Space). Third, by developing a synergetic/pattern recognition theory of cities and of decision-making in the context of city planning."--BOOK JACKET.
Author: Roger White
Publisher: MIT Press
ISBN: 0262552507
Category : Political Science
Languages : en
Pages : 354
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Book Description
The theory and practice of modeling cities and regions as complex, self-organizing systems, presenting widely used cellular automata-based models, theoretical discussions, and applications. Cities and regions grow (or occasionally decline), and continuously transform themselves as they do so. This book describes the theory and practice of modeling the spatial dynamics of urban growth and transformation. As cities are complex, adaptive, self-organizing systems, the most appropriate modeling framework is one based on the theory of self-organizing systems—an approach already used in such fields as physics and ecology. The book presents a series of models, most of them developed using cellular automata (CA), which are inherently spatial and computationally efficient. It also provides discussions of the theoretical, methodological, and philosophical issues that arise from the models. A case study illustrates the use of these models in urban and regional planning. Finally, the book presents a new, dynamic theory of urban spatial structure that emerges from the models and their applications. The models are primarily land use models, but the more advanced ones also show the dynamics of population and economic activities, and are integrated with models in other domains such as economics, demography, and transportation. The result is a rich and realistic representation of the spatial dynamics of a variety of urban phenomena. The book is unique in its coverage of both the general issues associated with complex self-organizing systems and the specifics of designing and implementing models of such systems.
Author: Paul Krugman
Publisher: John Wiley & Sons
ISBN: 1557866988
Category : Business & Economics
Languages : en
Pages : 133
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Book Description
The Self-Organizing Economy In the last few years the concept of self-organizing systems—complex systems in which randomness and chaos seem spontaneously to evolve into unexpected order—has linked together researchers in many fields, from artificial intelligence to chemistry, from evolution to geology. Now leading economist Paul Krugman shows how principles that explain the growth of hurricanes and embryos can also explain the formation of cities and business cycles; how the same principles of “order from random growth” can explain the strangely simple rules that describe the sizes of earthquakes, meteorites, and metropolitan areas. Weaving together strands from many disciplines, from location theory to biology, The Self-Organizing Economy offers a surprising new view of how the economy structures itself in space and time.
Author: Carlos Gershenson
Publisher: CopIt ArXives
ISBN: 0983117233
Category : Science
Languages : en
Pages : 189
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Book Description
Complex systems are usually difficult to design and control. There are several particular methods for coping with complexity, but there is no general approach to build complex systems. In this book I propose a methodology to aid engineers in the design and control of complex systems. This is based on the description of systems as self-organizing. Starting from the agent metaphor, the methodology proposes a conceptual framework and a series of steps to follow to find proper mechanisms that will promote elements to find solutions by actively interacting among themselves.
Author:
Publisher:
ISBN:
Category : Architectural design
Languages : en
Pages : 1184
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Book Description
Author: H. S. Geyer
Publisher: Edward Elgar Publishing
ISBN:
Category : Political Science
Languages : en
Pages : 648
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Book Description
An edited group of 21 papers on urban change; in addition, the author contributed the four initial chapters on theoretical methods. The remaining papers consider factors of urban change, mostly for the latter part of the 20th century, for countries in Europe, the Americas, South Africa, and Asia. Themes include migration, population change, and the impact of political change. The international group of contributors is made up of academics in geography, urban and regional planning, and demography.
Author:
Publisher:
ISBN:
Category : City planning
Languages : en
Pages : 1050
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Book Description
